Recent Advances in Evolutionary Computation for Combinatorial Optimization

by Cotta, Carlos; Van Hemert, Jano

• ISBN13: 9783540708063
• ISBN10: 3540708065
• Format: Hardcover
• Copyright: 2008-09-01
• Publisher: Springer Verlag

Summary

"Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. The intrinsic complexity of most combinatorial optimisation problems makes classical methods unaffordable in many cases. To acquire practical solutions to these problems requires the use of metaheuristic approaches that trade completeness for pragmatic effectiveness. Such approaches are able to provide optimal or quasi-optimal solutions to a plethora of difficult combinatorial optimisation problems." "The application of metaheuristics to combinatorial optimisation is an active field in which new theoretical developments, new algorithmic models, and new application areas are continuously emerging. This volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches. In this sense, the book includes cutting-edge theoretical, methodological, algorithmic and applied developments in the field, from respected experts and with a sound perspective."--BOOK JACKET.

Table of Contents

Theory and Methodology
An Evolutionary Algorithm for the Solution of Two-Variable Word Equations in Partially Commutative Groups	p. 3
Determining Whether a Problem Characteristic Affects Heuristic Performance	p. 21
Performance and Scalability of Genetic Algorithms on NK-Landscapes	p. 37
Engineering Stochastic Local Search Algorithms: A Case Study in Estimation-Based Local Search for the Probabilistic Travelling Salesman Problem	p. 53
Hybrid Approaches
A Lagrangian Decomposition/Evolutionary Algorithm Hybrid for the Knapsack Constrained Maximum Spanning Tree Problem	p. 69
A Hybrid Optimization Framework for Cutting and Packing Problems	p. 87
A Hybrid Genetic Algorithm for the DNA Fragment Assembly Problem	p. 101
A Memetic-Neural Approach to Discover Resources in P2P Networks	p. 113
Constrained Problems
An Iterative Heuristic Algorithm for Tree Decomposition	p. 133
Search Intensification in Metaheuristics for Solving the Automatic Frequency Problem in GSM	p. 151
Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem	p. 167
Scheduling
Different Codifications and Metaheuristic Algorithms for the Resource Renting Problem with Minimum and Maximum Time Lags	p. 187
A Simple Optimised Search Heuristic for the Job Shop Scheduling Problem	p. 203
Parallel Memetic Algorithms for Independent Job Scheduling in Computational Grids	p. 219
Routing and Travelling Salesman Problems
Reducing the Size of Travelling Salesman Problem Instances by Fixing Edges	p. 243
Algorithms for Large Directed Capacitated Arc Routing Problem Instances	p. 259
An Evolutionary Algorithm with Distance Measure for the Split Delivery Capacitated Arc Routing Problem	p. 275
A Permutation Coding with Heuristics for the Uncapacitated Facility Location Problem	p. 295
References	p. 309
Index	p. 333
Author Index	p. 337
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